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v000000_-_Qwen2.5-14B-Gutenberg-1e-Delta-gguf – AI Model by RichardErkhov | AlphaNeural AI
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v000000_-_Qwen2.5-14B-Gutenberg-1e-Delta-gguf
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Qwen2.5-14B-Gutenberg-1e-Delta - GGUF
Model creator:
https://huggingface.co/v000000/
Original model:
https://huggingface.co/v000000/Qwen2.5-14B-Gutenberg-1e-Delta/
Name
Quant method
Size
Qwen2.5-14B-Gutenberg-1e-Delta.Q2_K.gguf
Q2_K
5.37GB
Qwen2.5-14B-Gutenberg-1e-Delta.IQ3_XS.gguf
IQ3_XS
5.94GB
Qwen2.5-14B-Gutenberg-1e-Delta.IQ3_S.gguf
IQ3_S
6.23GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q3_K_S.gguf
Q3_K_S
6.2GB
Qwen2.5-14B-Gutenberg-1e-Delta.IQ3_M.gguf
IQ3_M
6.44GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q3_K.gguf
Q3_K
6.84GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q3_K_M.gguf
Q3_K_M
6.84GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q3_K_L.gguf
Q3_K_L
7.38GB
Qwen2.5-14B-Gutenberg-1e-Delta.IQ4_XS.gguf
IQ4_XS
7.62GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q4_0.gguf
Q4_0
7.93GB
Qwen2.5-14B-Gutenberg-1e-Delta.IQ4_NL.gguf
IQ4_NL
8.01GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q4_K_S.gguf
Q4_K_S
7.98GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q4_K.gguf
Q4_K
8.37GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q4_K_M.gguf
Q4_K_M
8.37GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q4_1.gguf
Q4_1
8.75GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q5_0.gguf
Q5_0
9.56GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q5_K_S.gguf
Q5_K_S
9.56GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q5_K.gguf
Q5_K
9.79GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q5_K_M.gguf
Q5_K_M
9.79GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q5_1.gguf
Q5_1
10.38GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q6_K.gguf
Q6_K
11.29GB
Qwen2.5-14B-Gutenberg-1e-Delta.Q8_0.gguf
Q8_0
14.62GB
Original model description:
license: apache-2.0 library_name: transformers tags:
qwen2
qwen2.5
dpo
chat
conversational
finetune base_model:
Qwen/Qwen2.5-14B-Instruct datasets:
jondurbin/gutenberg-dpo-v0.1 model-index:
name: Qwen2.5-14B-Gutenberg-1e-Delta results:
task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics:
type: inst_level_strict_acc and prompt_level_strict_acc value: 80.45 name: strict accuracy source: url:
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics:
type: acc_norm value: 48.62 name: normalized accuracy source: url:
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics:
type: exact_match value: 0.0 name: exact match source: url:
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics:
type: acc_norm value: 10.51 name: acc_norm source: url:
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics:
type: acc_norm value: 9.38 name: acc_norm source: url:
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics:
type: acc value: 43.67 name: accuracy source: url:
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
name: Open LLM Leaderboard
Qwen2.5-14B-Gutenberg-1e-Delta
image/png
This is "Qwen2.5-14B-Instruct" trained on
jondurbin/gutenberg-dpo-v0.1
for
1.25
epoch's (DPO).
GGUF from QuantFactory:
GGUF static
Open LLM Leaderboard Evaluation Results
Detailed results can be found
here
Metric
Value
Avg.
32.11
IFEval (0-Shot)
80.45
BBH (3-Shot)
48.62
MATH Lvl 5 (4-Shot)
0.00
GPQA (0-shot)
10.51
MuSR (0-shot)
9.38
MMLU-PRO (5-shot)
43.67